Tesla C2075 vs RTX 4000 SFF Ada Generation
We compared two Professional market GPUs: 6GB VRAM Tesla C2075 and 16GB VRAM RTX 4000 SFF Ada Generation to see which GPU has better performance in key specifications, benchmark tests, power consumption, etc.
Main Differences
Tesla C2075 's Advantages
Lower TDP (247W vs 300W)
RTX 4000 SFF Ada Generation 's Advantages
Released 7 years and 4 months late
Boost Clock1746MHz
More VRAM (16GB vs 6GB)
Larger VRAM bandwidth (1.02TB/s vs 150.3GB/s)
3392 additional rendering cores
Score
Benchmark
FP32 (float)
Tesla C2075
1028
RTX 4000 SFF Ada Generation
+1204%
13410
Graphics Card
Jul 2011
Release Date
Nov 2018
Tesla
Generation
Radeon Instinct
Professional
Type
Professional
PCIe 2.0 x16
Bus Interface
PCIe 4.0 x16
Clock Speeds
-
Base Clock
1200 MHz
-
Boost Clock
1746 MHz
783 MHz
Memory Clock
1000 MHz
Memory
6GB
Memory Size
16GB
GDDR5
Memory Type
HBM2
384bit
Memory Bus
4096bit
150.3GB/s
Bandwidth
1.02TB/s
Render Config
-
Compute Units
60
14
SM Count
48
448
Shading Units
3840
56
TMUs
240
48
ROPs
64
-
Tensor Cores
192
-
RT Cores
48
64 KB (per SM)
L1 Cache
16 KB (per CU)
768 KB
L2 Cache
4 MB
Theoretical Performance
16.07 GPixel/s
Pixel Rate
111.7 GPixel/s
32.14 GTexel/s
Texture Rate
419.0 GTexel/s
-
FP16 (half)
26.82 TFLOPS
1028 GFLOPS
FP32 (float)
13.41 TFLOPS
513.9 GFLOPS
FP64 (double)
6.705 TFLOPS
Board Design
247W
TDP
300W
550 W
Suggested PSU
700 W
1x DVI
Outputs
1x mini-DisplayPort 1.4a
1x 6-pin + 1x 8-pin
Power Connectors
2x 8-pin
Graphics Processor
GF110
GPU Name
Vega 20
GF110-351-A1
GPU Variant
Vega 20 GLXT
Fermi 2.0
Architecture
GCN 5.1
TSMC
Foundry
TSMC
40 nm
Process Size
7 nm
3 billion
Transistors
13.23 billion
520 mm²
Die Size
331 mm²
Graphics Features
12 (11_0)
DirectX
12 (12_1)
4.6
OpenGL
4.6
1.1
OpenCL
2.1
N/A
Vulkan
1.3
2.0
CUDA
8.9
5.1
Shader Model
6.7
